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171103 ||| eng |
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|a 9783319624587
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|a Griebel, Michael
|e [editor]
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|a Scientific Computing and Algorithms in Industrial Simulations
|h Elektronische Ressource
|b Projects and Products of Fraunhofer SCAI
|c edited by Michael Griebel, Anton Schüller, Marc Alexander Schweitzer
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| 250 |
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|a 1st ed. 2017
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| 260 |
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|a Cham
|b Springer International Publishing
|c 2017, 2017
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| 300 |
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|a VIII, 376 p. 40 illus. in color
|b online resource
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| 653 |
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|a Numerical Analysis
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| 653 |
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|a Algorithms
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| 653 |
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|a Mathematics / Data processing
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| 653 |
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|a Computational Science and Engineering
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| 653 |
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|a Computer software
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| 653 |
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|a Mathematical Modeling and Industrial Mathematics
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| 653 |
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|a Numerical analysis
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| 653 |
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|a Mathematical Software
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| 653 |
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|a Mathematical models
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| 700 |
1 |
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|a Schüller, Anton
|e [editor]
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| 700 |
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|a Schweitzer, Marc Alexander
|e [editor]
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| 041 |
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7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 028 |
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|a 10.1007/978-3-319-62458-7
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| 856 |
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|u https://doi.org/10.1007/978-3-319-62458-7?nosfx=y
|x Verlag
|3 Volltext
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|a 003.3
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| 520 |
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|a The contributions gathered here provide an overview of current research projects and selected software products of the Fraunhofer Institute for Algorithms and Scientific Computing SCAI. They show the wide range of challenges that scientific computing currently faces, the solutions it offers, and its important role in developing applications for industry. Given the exciting field of applied collaborative research and development it discusses, the book will appeal to scientists, practitioners, and students alike. The Fraunhofer Institute for Algorithms and Scientific Computing SCAI combines excellent research and application-oriented development to provide added value for our partners. SCAI develops numerical techniques, parallel algorithms and specialized software tools to support and optimize industrial simulations. Moreover, it implements custom software solutions for production and logistics, and offers calculations on high-performance computers. Its services and products are based on state-of-the-art methods from applied mathematics and information technology
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